All categories

3 years ago

In a transformation, the final figure is called.

Mathematics

1 answer:

Viktor [21]3 years ago

6 0

Answer:

A transformation is a general term for four specific ways to manipulate the shape and/or position of a point, a line, or geometric figure. The original shape of the object is called the Pre-Image and the final shape and position of the object is the Image under the transformation.

You might be interested in

One number is nine more than the other. Their sum is 33. Find the numbers.

Katen [24]

Answer: 12 21

Step-by-step explanation:

8 0

3 years ago

Will the ball clear the crossbar of the goal post, which is 10 feer off the fround.

Allisa [31]

The problem gives you X, so replace X witht he given vaule and solve for y:

y = -0.1x^2 + 4X

X = 40

y = -0.1(40)^2 +4(40)

y = -0.1(1600) + 160

y = -160 + 160

y = 0

7 0

3 years ago

How does 4/3y = 36??????????

omeli [17]

Answer:

i think 27

Step-by-step explanation:

27 X 4/3y=36y

6 0

3 years ago

Read 2 more answers

The dwarves of the Grey Mountains wish to conduct a survey of their pick-axes in order to construct a 99% confidence interval ab

Dmitry_Shevchenko [17]

Answer:

The minimum sample size needed is 125.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

For this problem, we have that:

$\pi = 0.25$

99% confidence level

So $\alpha = 0.01$ , z is the value of Z that has a pvalue of $1 - \frac{0.01}{2} = 0.995$ , so $Z = 2.575$ .

What minimum sample size would be necessary in order ensure a margin of error of 10 percentage points (or less) if they use the prior estimate that 25 percent of the pick-axes are in need of repair?

This minimum sample size is n.

n is found when $M = 0.1$